{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e15.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 9 Sep 2016, 11:30:24
{txt}
{com}. clear 
{txt}
{com}. set more off
{txt}
{com}. use "charity field1.dta"
{txt}
{com}. 
. gen t = .
{txt}(614 missing values generated)

{com}. replace t = 1 if beslutsform == 1
{txt}(67 real changes made)

{com}. replace t = 1 if beslutsform == 2
{txt}(61 real changes made)

{com}. replace t = 0 if beslutsform == 3
{txt}(54 real changes made)

{com}. replace t = 0 if beslutsform == 4
{txt}(59 real changes made)

{com}. replace t = 5 if beslutsform == 5
{txt}(71 real changes made)

{com}. replace t = 5 if beslutsform == 6
{txt}(75 real changes made)

{com}. replace t = 5 if beslutsform == 7
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 8
{txt}(68 real changes made)

{com}. replace t = 5 if beslutsform == 9
{txt}(82 real changes made)

{com}. 
. drop if t == 5
{txt}(364 observations deleted)

{com}. 
. set seed  358395
{txt}
{com}. sem (d <-  t  wl p)(p <-  t  wl)  , vce(cluster klassnummer)
{res}{txt}(1 observations with missing values excluded)

Endogenous variables

{p 0 11 2}Observed:{space 2}{res}d p{p_end}
{txt}
Exogenous variables

{p 0 11 2}Observed:{space 2}{res}t wl{p_end}
{txt}
Fitting target model:

Iteration 0:{space 3}log pseudolikelihood = {res:-200.25546}  
Iteration 1:{space 3}log pseudolikelihood = {res:-200.25546}  

Structural equation model{col 49}Number of obs{col 67}= {res}       240
{col 1}{txt}Estimation method{col 20}= {res}ml
{col 1}{txt}Log pseudolikelihood{col 20}= {res}-200.25546

{txt}{ralign 78:(Std. Err. adjusted for {res:12} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .5092745{col 26}{space 2} .0694317{col 37}{space 1}    7.33{col 46}{space 3}0.000{col 54}{space 4}  .373191{col 67}{space 3} .6453581
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.0311501{col 26}{space 2} .0255189{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4}-.0811662{col 67}{space 3}  .018866
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0819916{col 26}{space 2} .0295707{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4}  .024034{col 67}{space 3} .1399492
{txt}{space 7}_cons {c |}{col 14}{res}{space 2}  .457992{col 26}{space 2}  .041378{col 37}{space 1}   11.07{col 46}{space 3}0.000{col 54}{space 4} .3768926{col 67}{space 3} .5390914
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .1999436{col 26}{space 2} .0418129{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .1179918{col 67}{space 3} .2818954
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1433393{col 26}{space 2} .0332475{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} .0781754{col 67}{space 3} .2085032
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5991927{col 26}{space 2} .0589906{col 37}{space 1}   10.16{col 46}{space 3}0.000{col 54}{space 4} .4835733{col 67}{space 3} .7148122
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
     var(e.d){c |}{col 14}{res}{space 2} .0223587{col 26}{space 2} .0051665{col 54}{space 4} .0142153{col 67}{space 3} .0351671
{txt}     var(e.p){c |}{col 14}{res}{space 2} .0509345{col 26}{space 2} .0092307{col 54}{space 4} .0357069{col 67}{space 3} .0726561
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat ic

Akaike's information criterion and Bayesian information criterion

{txt}{hline 13}{c TT}{hline 63}
       Model {c |}        Obs  ll(null)  ll(model)      df         AIC        BIC
{hline 13}{c +}{hline 63}
{ralign 12:.}{col 14}{c |}{res}{col 16}       240{col 27}        .{col 38}-200.2555{col 49}     9{col 58} 418.5109{col 69} 449.8367
{txt}{hline 13}{c BT}{hline 63}
{p 15 21 2}
Note: N=Obs used in calculating BIC; see {helpb bic_note:[R] BIC note}.
{p_end}

{com}. estat teffects 
{res}

{txt}Direct effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:12} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .5092745{col 26}{space 2} .0694317{col 37}{space 1}    7.33{col 46}{space 3}0.000{col 54}{space 4}  .373191{col 67}{space 3} .6453581
{txt}{space 11}t {c |}{col 14}{res}{space 2}-.0311501{col 26}{space 2} .0255189{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4}-.0811662{col 67}{space 3}  .018866
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0819916{col 26}{space 2} .0295707{col 37}{space 1}    2.77{col 46}{space 3}0.006{col 54}{space 4}  .024034{col 67}{space 3} .1399492
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .1999436{col 26}{space 2} .0418129{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .1179918{col 67}{space 3} .2818954
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1433393{col 26}{space 2} .0332475{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} .0781754{col 67}{space 3} .2085032
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Indirect effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:12} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 11}t {c |}{col 14}{res}{space 2} .1018262{col 26}{space 2} .0290616{col 37}{space 1}    3.50{col 46}{space 3}0.000{col 54}{space 4} .0448666{col 67}{space 3} .1587858
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .0729991{col 26}{space 2} .0192756{col 37}{space 1}    3.79{col 46}{space 3}0.000{col 54}{space 4} .0352196{col 67}{space 3} .1107785
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{space 10}wl {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (no path)
{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}


Total effects
{res}{txt}{ralign 78:(Std. Err. adjusted for {res:12} clusters in klassnummer)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}Structural  {col 14}{txt}{c |}
{space 2}{col 3}d <-      {col 14}{c |}
{space 11}p {c |}{col 14}{res}{space 2} .5092745{col 26}{space 2} .0694317{col 37}{space 1}    7.33{col 46}{space 3}0.000{col 54}{space 4}  .373191{col 67}{space 3} .6453581
{txt}{space 11}t {c |}{col 14}{res}{space 2} .0706761{col 26}{space 2} .0196595{col 37}{space 1}    3.60{col 46}{space 3}0.000{col 54}{space 4} .0321443{col 67}{space 3} .1092079
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1549907{col 26}{space 2} .0312571{col 37}{space 1}    4.96{col 46}{space 3}0.000{col 54}{space 4} .0937278{col 67}{space 3} .2162535
{space 2}{txt}{hline 11}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}{col 3}p <-      {col 14}{c |}
{space 11}t {c |}{col 14}{res}{space 2} .1999436{col 26}{space 2} .0418129{col 37}{space 1}    4.78{col 46}{space 3}0.000{col 54}{space 4} .1179918{col 67}{space 3} .2818954
{txt}{space 10}wl {c |}{col 14}{res}{space 2} .1433393{col 26}{space 2} .0332475{col 37}{space 1}    4.31{col 46}{space 3}0.000{col 54}{space 4} .0781754{col 67}{space 3} .2085032
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** indirect and direct - winning/losing
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <-  t  wl p)(p <-  t  wl)   , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indir  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end 
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indir) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       240
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .0729991{col 26}{space 2}  .020239{col 37}{space 1}    3.61{col 46}{space 3}0.000{col 54}{space 4} .0333314{col 67}{space 3} .1126667
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .1549907{col 26}{space 2} .0298781{col 37}{space 1}    5.19{col 46}{space 3}0.000{col 54}{space 4} .0964306{col 67}{space 3} .2135508
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       240
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indir)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2} .07299907{col 27}{space 2}-.0002584{col 38}{space 2} .02023898{col 51}{space 2} .0365451{col 63}{space 1} .1167141{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0380943{col 63}{space 1} .1207695{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .15499066{col 27}{space 2} .0014892{col 38}{space 2} .02987814{col 51}{space 2} .0971577{col 63}{space 1}   .21781{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0976398{col 63}{space 1}  .218839{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** indirect and direct - treatment
. cap program drop indireff
{txt}
{com}. program indireff, rclass
{txt}  1{com}. sem (d <- wl  t  p)(p <- wl  t )    , vce(cluster klassnummer)
{txt}  2{com}.   estat teffects
{txt}  3{com}.   mat bi = r(indirect)
{txt}  4{com}.   mat bt = r(total)
{txt}  5{com}.   return scalar indirect  = el(bi,1,3)
{txt}  6{com}.   return scalar total  = el(bt,1,3)
{txt}  7{com}. end
{txt}
{com}. 
. set seed 358395
{txt}
{com}. bootstrap r(indirect) r(total), reps(1000): indireff
{txt}(running indireff on estimation sample)

Bootstrap replications ({res}1000{txt})
{hline 4}{c +}{hline 3} 1 {hline 3}{c +}{hline 3} 2 {hline 3}{c +}{hline 3} 3 {hline 3}{c +}{hline 3} 4 {hline 3}{c +}{hline 3} 5 
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{res}
{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       240
{txt}{col 49}Replications{col 67}= {res}     1,000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}   Observed{col 26}   Bootstrap{col 54}         Norm{col 67}al-based
{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}_bs_1 {c |}{col 14}{res}{space 2} .1018262{col 26}{space 2} .0216256{col 37}{space 1}    4.71{col 46}{space 3}0.000{col 54}{space 4} .0594407{col 67}{space 3} .1442117
{txt}{space 7}_bs_2 {c |}{col 14}{res}{space 2} .0706761{col 26}{space 2} .0253314{col 37}{space 1}    2.79{col 46}{space 3}0.005{col 54}{space 4} .0210275{col 67}{space 3} .1203247
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. estat bootstrap, percentile bc  

{txt}Bootstrap results{col 49}Number of obs{col 67}= {res}       240
{txt}{col 49}Replications{col 67}= {res}      1000
{p2colset 7 17 21 2}{...}

{txt}{p2col :command:}indireff{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_1:}{res:r(indirect)}{p_end}
{p2colset 9 17 21 2}{...}
{p2col :_bs_2:}{res:r(total)}{p_end}

{col 1}{text}{hline 13}{c TT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 14}{text}{c |}    Observed{col 38}    Bootstrap
{col 14}{text}{c |}       Coef.{col 27}       Bias{col 38}    Std. Err.{col 51}  [95% Conf. Interval]
{col 1}{text}{hline 13}{c +}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 1}{text}       _bs_1{col 14}{c |}{result}{space 2}  .1018262{col 27}{space 2}-.0004294{col 38}{space 2} .02162565{col 51}{space 2} .0614803{col 63}{space 1} .1480674{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0636784{col 63}{space 1}  .150564{col 73}{text}  (BC)
{col 1}{text}       _bs_2{col 14}{c |}{result}{space 2} .07067611{col 27}{space 2}-.0001565{col 38}{space 2} .02533138{col 51}{space 2}  .020908{col 63}{space 1} .1201476{col 73}{text}   (P)
{col 14}{text}{c |}{col 51}{result}{space 2} .0217088{col 63}{space 1} .1213152{col 73}{text}  (BC)
{col 1}{text}{hline 13}{c BT}{hline 12}{hline 11}{hline 13}{hline 12}{hline 10}{hline 6}
{col 0}(P){col 8}percentile confidence interval
{col 0}(BC){col 8}bias-corrected confidence interval

{com}. 
. *** randomization check
. reg  t  gender interest ideology , robust

{txt}Linear regression                               Number of obs     = {res}       226
                                                {txt}F(3, 222)         =  {res}     1.52
                                                {txt}Prob > F          = {res}    0.2107
                                                {txt}R-squared         = {res}    0.0166
                                                {txt}Root MSE          =    {res} .49931

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}           t{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}gender {c |}{col 14}{res}{space 2} .0169866{col 26}{space 2} .0736367{col 37}{space 1}    0.23{col 46}{space 3}0.818{col 54}{space 4}-.1281298{col 67}{space 3} .1621031
{txt}{space 4}interest {c |}{col 14}{res}{space 2} .0918772{col 26}{space 2} .1189689{col 37}{space 1}    0.77{col 46}{space 3}0.441{col 54}{space 4}-.1425756{col 67}{space 3} .3263301
{txt}{space 4}ideology {c |}{col 14}{res}{space 2}  .281108{col 26}{space 2} .1376868{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0097676{col 67}{space 3} .5524485
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .3805644{col 26}{space 2} .0968906{col 37}{space 1}    3.93{col 46}{space 3}0.000{col 54}{space 4} .1896214{col 67}{space 3} .5715074
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/xpmiki/Dropbox/esaiasson/replicationData/e15.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 9 Sep 2016, 11:32:17
{txt}{.-}
{smcl}
{txt}{sf}{ul off}